Audio Compression Algorithm using Discrete Cosine Transform (DCT) and Lempel-Ziv-Welch (LZW) Encoding Method
Sankalp Shukla, Maniram Ahirwar, Richa Gupta, Sarthak Jain, Dheeraj Singh Rajput · 2019
This paper proposes a new approach to Audio Compression that incorporates lossless text compression algorithm. The purpose of Audio Compression is to reduce the amount of data required to represent the digital audio by removing redundant data. In the present work Discrete Cosine Transform and lossless text compression method (Lempel-Ziv-Welch method) based Audio Compression algorithm has been proposed which also includes audio normalization, scalar quantization and encoding. The LZW dictionary obtained after compression is used for transmission and storage. The performance of the proposed algorithm is analyzed using various audio specimens of distinct size with distinct audio signal parameters. The compression performance is assessed using Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR). The audio specimen outcomes indicate the propitious performance of proposed algorithm. The compression ratio can be enhanced by changing various parameters of the system.